Issue 65, 2017, Issue in Progress

Quantitative and multiplex dot-immunoassay using gap-enhanced Raman tags

Abstract

Dot immunoassay has been proposed as a simple and fast method for detection of various analytes. However, this qualitative method has a narrow working range and is limited to multiplex detection. To overcome these drawbacks, we suggest a highly specific, quantitative, and multiplex dot immunoassay using plasmonic gap-enhanced Raman tags (GERTs) and a nitrocellulose membrane as a substrate. The assay principle is based on reading surface-enhanced Raman scattering (SERS) spectra from analyte drops on the membrane strip after incubation with GERTs conjugated to biospecific probes. Three types of GERTs were synthesised by embedding nitrobenzenethiol (NBT), naphthalenethiol (NT), and acetamidothiophenol (AcTP) Raman molecules inside Au core/shell nanoparticles. For proof-of-concept experiments, the NBT, NT, and AcTP GERTS were further functionalized with rabbit anti-rat, anti-human, and anti-chicken antibodies, respectively. For all three corresponding antigens, the detected Raman signals linearly depended on the analyte amount within the range from 10 to 300 ng. The multiplex capability of the assay is illustrated by simultaneous one-step determination of rat, human, and chicken IgGs with a mixture of functionalized GERTs by recording Raman maps for whole membrane to avoid the point-to-point repeatability problem. Thus, GERTs are promising SERS nanotags for advanced versions of immunoassays instead of common plasmonic SERS labels with Raman reporters excited by the external near field.

Graphical abstract: Quantitative and multiplex dot-immunoassay using gap-enhanced Raman tags

Supplementary files

Article information

Article type
Paper
Submitted
23 Jul 2017
Accepted
10 Aug 2017
First published
22 Aug 2017
This article is Open Access
Creative Commons BY license

RSC Adv., 2017,7, 40834-40841

Quantitative and multiplex dot-immunoassay using gap-enhanced Raman tags

B. Khlebtsov, T. Pylaev, V. Khanadeev, D. Bratashov and N. Khlebtsov, RSC Adv., 2017, 7, 40834 DOI: 10.1039/C7RA08113H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements